Course overview
Advanced Excel Essentials is a tool-based technical workshop that will equip participants with comprehensive skills in managing and analyzing data effectively, enhancing productivity in the workplace.
This workshop focuses on efficient data handling, enhanced productivity, and better decision-making by teaching automation, data visualization, and introduction to dashboard elements. Participants will learn to ensure data integrity through validation and error handling, significantly improving data accuracy and reliability. Additionally, mastering these skills will boost professional development, making participants more proficient and valuable in various industries.
Data Preparation and Transformation
Mastering data preparation and transformation techniques such as Power Query, naming ranges, and creating tables ensures efficient data gathering and cleaning. These skills are essential for setting a solid foundation for further data analysis, enabling users to handle large datasets easily and precisely.
Advanced Formula Techniques
Advanced formula techniques, including nested functions and error auditing, allow users to perform complex calculations efficiently. By mastering these skills, participants can handle sophisticated data scenarios and ensure their formulas are accurate and reliable, which is crucial for advanced data analysis and problem-solving.
Data Manipulation and Analysis
Learning advanced lookup functions, data consolidation, subtotals, and filtering techniques equips users to manipulate and analyze data effectively. These skills are vital for extracting meaningful insights from large datasets, making organizing, summarizing, and presenting data comprehensively easier.
Data Visualization
Developing charting and data visualization skills helps users represent data visually and will lead to the preparation of dynamic dashboard creation. These capabilities enhance the ability to communicate complex data patterns and insights, facilitating better understanding and stakeholder decision-making.